What Is an AI Virtual Assistant? Definition and Guide

An AI virtual assistant is software that does the same admin and support work a human virtual assistant (VA) would, like scheduling, email triage, reminders, research, and data entry, only it runs automatically. You're not handing tasks to a remote person. You're handing them to a program that connects to your tools and acts for you. The ones worth using add three things: persistent memory, real access to your accounts, and governance so a reviewer signs off on anything sensitive before it happens.

What an AI virtual assistant does

Same recurring admin load a human VA carries, run by software:

• Scheduling meetings and untangling calendar conflicts
• Triaging, drafting, and replying to email
• Setting reminders and chasing follow-ups
• Researching people, companies, and options before a decision
• Updating data across apps
• Summarizing long threads, documents, and calls

What sets it apart from a chatbot is action. A chatbot answers your question and stops. An AI virtual assistant logs into your real accounts and actually does the thing.

AI virtual assistant vs. human VA vs. voice assistant

People blur these three. They solve different problems.

	AI virtual assistant	Human VA	Voice assistant (Siri, Alexa)
Availability	24/7, instant	Working hours	24/7
Cost	Usage-based software	Hourly or salaried	Bundled with device
Task depth	Multi-step workflows across tools	Multi-step, judgment-heavy	Single commands
Memory	Persistent across tasks	Personal memory	Little to none
Tool access	APIs plus browser actions	Whatever they can log into	Limited integrations
Best for	Repeatable admin and ops work	Nuanced, relationship-heavy work	Quick device commands

A human VA still beats software on judgment, relationships, and the fuzzy tasks where someone has to read between the lines. A voice assistant is for quick one-off commands, not work you can leave running. The AI virtual assistant lives in between. It does real multi-step work continuously and it remembers the context from one task to the next.

Where an AI virtual assistant helps most

Anywhere the same admin work keeps coming back, it pays for itself:

• Founders trying to protect their time and keep the inbox and calendar from eating the day. See our AI assistant for founders guide.
• Sales teams researching prospects and keeping the CRM honest (AI assistant for sales).
• Realtors running showings, follow-ups, and a steady stream of client questions (AI assistant for realtors).
• Ops roles stuck with routine data entry and updates that span four apps.

If you need support closer to the executive level, here's how this compares to an AI executive assistant.

What to look for

Plenty of products call themselves AI virtual assistants and can't safely do much. Three things separate a real one from a demo.

Persistent memory comes first. It should know your preferences, your people, and what you're in the middle of, instead of meeting you fresh every morning.

Real tool access is second, and it's where most products quietly fall short. It has to connect to the apps you already live in, including the ones with no public API, by logging in once and working through a secure browser session.

Governance is the one people skip and the one that bites. Sensitive sends and writes should route through a reviewer you pick, with a full record of every tool call, source, and approval behind them. An assistant that can touch your accounts with nobody watching is a liability. One that asks before it does the things that matter is a colleague.

How Arlo works as an AI virtual assistant

Arlo is an AI virtual assistant that works where you already are: iMessage and SMS, Slack, Microsoft Teams, and live phone calls. Nothing new to install. You text it the way you'd text a person, and it goes and does the work.

Arlo keeps persistent memory and sends a morning briefing of what changed overnight. It connects to Slack, Gmail, Notion, Linear, GitHub, and 3,000+ other tools, and for apps with no API it logs in once through a secure browser session and clicks, reads, and fills out forms like a person would. Governance is on by default. Every connection runs through policy before each run, drafts and sends wait for a reviewer you choose, and every action lands in a full audit trace.

For teams, the Team plan is usage-based, and the Business plan is custom, with admin policy, roles, SSO, and audit export.

Try Arlo

Want an AI virtual assistant that works inside your messages and on your calls, with memory and governance built in? Sign up for Arlo, or browse more resources to see how it fits your team.